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Single discipline educational activity
Course Sheet Academic Year of enrolment:
Professor and Collaborators:
Hours of classroom activity:
Prerequisites:
Knowledge of general mathematics and descriptive statistics.
Objectives
Contents The course is divided into the following points:
Availability and production of statistical information for business decisions.
Sample surveys.
Data matrix and preliminary data analysis.
Measurement and interpretation of relationships between business variables.
Probability and inference.
Multivariate statistical analysis for business data and company business performances.
Measures of firm efficiency. Frontier analysis methods.
Extended Syllabus Random variables v.c. continue, v.c. discrete, distribution functions, expected value and variance of a v.c., moments, , main v.c. discrete (binomial, hypergeometric, Poisson), principal v.c. continuous (uniform, normal, exponential, chi square, Student's T), Introduction to statistical inference: parametric statistical models, random samples, statistics, sample distributions, likelihood function. Point estimate: correct estimators, consistent estimators, efficient estimators. Estimation using intervals :. Testing of statistical hypotheses: simple and compound parametric hypotheses, the simple linear regression model and its uses. Confidence intervals for the estimated parameters and hypothesis testing. Forecast intervals.
Recommended Bibliography - Cicchitelli G., D’Urso P., Minozzo M. Statistica: principi e metodi. Pearson, Milano
(for the following topics: probability and inference).
Other supporting material provided by teacher will be available on the e-learning page.
Methods of Provision
Teaching Methods The course includes 72 hours of lessons divided into 3 weekly lessons and will be organized in frontal lessons, exercises, case studies.
Frequency is recommended.
Evaluation methods Verification of learning:
The assessment of the learning level will be carried out with the use of a written test. Formative evaluation activities are also planned in itinere.
The written examination consists of: i) both open and multiple choice questions about topics covered during the course; ii) exercises in which students are asked to solve real case-studies using statistical methods presented during the course.
The exam score is on a 30-point scale.
Contacts/More Information All information concerning the course and other learning materials will be available on fad.unich.it (on the e-learning page named Statistics 2).